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Aternity AppInternals [EOL] vs Datadog comparison

Riverbed and Datadog are both solutions in the Application Performance Monitoring (APM) and Observability category. Additionally, 90% of Riverbed users are willing to recommend the solution, compared to 97% of Datadog users who would recommend it.
Datadog
Read 188 Datadog reviews
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  • 14,528 Comparison Views
97% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 13, 2025

Aternity AppInternals [EOL] and Datadog compete in application performance monitoring. Datadog has the upper hand due to its comprehensive features and analytics capabilities, despite higher costs.

Features: Aternity AppInternals [EOL] provides transaction tracing, root cause analysis, and resource consumption insights. Datadog offers real-time performance dashboards, multi-cloud monitoring, and extensive integrations, providing flexibility and deeper visibility.

Room for Improvement: Aternity could enhance its cloud-based capabilities, improve integration options, and expand its real-time analytics. Datadog could lower costs, better optimize for smaller businesses, and simplify its interface.

Ease of Deployment and Customer Service: Aternity AppInternals [EOL] features straightforward deployment with reliable support in traditional environments. Datadog's cloud-native deployment offers seamless scalability with extensive online resources, making it stand out.

Pricing and ROI: Aternity AppInternals [EOL] offers lower initial setup costs with strong ROI in traditional setups. Datadog requires a higher investment but provides significant ROI through analytics and reduced downtime reflecting its capabilities and long-term benefits.

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Buyer's Guide
Application Performance Monitoring (APM) and Observability
September 2025
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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Aternity AppInternals [EOL]
Average Rating
8.2
Number of Reviews
10
Ranking in other categories
No ranking in other categories
Datadog
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
188
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (4th), IT Infrastructure Monitoring (3rd), Log Management (4th), Container Monitoring (2nd), Cloud Monitoring Software (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (6th)
 

Featured Reviews

PJ
Points out the relevant problems in the enterprise and it's easy to understand
The most valuable aspect of this solution is the integration with their other systems. It's easy to understand and it points out the relevant problems in the enterprise I would like for it to have automated updates, the way the product updates itself should be all automated, as opposed to what it…
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reviewer820579 - PeerSpot reviewer
Single pane of glass, easy to share dashboards, and good for monitoring
We've had some issues where we had Datadog automatically turned on in AWS regions that we weren't using, which incurred a small but steady cost that amounted to tens of thousands of dollars spent over a few weeks. I wish there was a global setting that lets an admin restrict which regions DD is turned on in as a default setup step. Sometimes, the APM service dashboard link isn't sharable. I click something in the service catalog, and on that service's APM default view, I try to share a link to that with a teammate, and they reach a blank or error screen. I wish there was more organization and detail in the suggestions when I use the query editor. I'm never quite sure when the autofill dropdown shows up if I'm seeing some custom tag or some default property, so I have to know exactly what I'm looking for in order to build a chart. It's hard to navigate and explore using the query autofill suggestions without knowing exactly what tag to look for. It's been a bit hard to understand how data gets sampled or how many data points a particular dashboard value is using. We've had questions over the RUM metrics that we see and we had to ask for help with how values are calculated, bin sizes, etc to get confidence in our data.
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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Transaction Tracing is the most useful. Being able to have the transaction stitched together so we can see where the problem is has proven invaluable."
"I like it that one can match IPs with the application name."
"The capability of analysing each individual transaction captured to a very low level detail (method call/line of code)."
"Clicks to root cause - fast & easy to diagnose and deep-dive"
"The product is very useful to find problems in middleware for the application servers, especially agent instrumentation and management is user friendly."
"The most valuable aspect of this solution is the integration with their other systems. It's easy to understand and it points out the relevant problems in the enterprise."
"Synthetic transactions, WMI and SNMP query capability."
"Browsermetrix, which is real-user monitoring via JS injection and linked back to TTW via cookie. It allows us to see the experience of every user hitting our sites and analyze performance by region, browser, etc."
More Aternity AppInternals [EOL] pros
"Being able to filter requests by latency is invaluable, as it provides immediate insight into which endpoints require further analysis and optimization."
"The solution has improved the organization by providing good insights into app performance and offering good dashboards."
"It has turned into an operational dashboard. If you felt something is going wrong, you can immediately open up Datadog. It has been our go to application because we know the answer will be there."
"The solution's SaaS model is easy to manage and works well in single- or multi-cloud environments."
"Datadog has made it much easier to have a central place for people to look for logs and made it much easier to notify them of any elevated error rates or failures."
"The most valuable aspect is the APM which can monitor the metrics and latencies."
"It has provided visibility with ease of implementation and allowed multiple teams to quickly onboard it."
"We have way more observability than what we had before - on the application and the overall system."
More Datadog pros
 

Cons

"The recording mechanism for synthetic transactions could be improved as well."
"I would like for it to have automated updates, the way the product updates itself should be all automated, as opposed to what it is now."
"The admin dashboard could be easier as it takes a little bit of time to get used to it."
"It would be great if the solution could offer fixed bundles and more features."
"We'd like to be able to find out performance problems on application class and methods."
"They should find a way for report generation from TTW to run quicker."
"Support for PHP, DB and other applications need to be supported."
"The technical support is not very good and should be improved."
More Aternity AppInternals [EOL] cons
"We have recently had a number of issues with stability and delays on logging, monitoring, metric evaluation, and alerts."
"The solution should provide alerts for cloud outages."
"The cost is pretty high."
"This service could be less costly."
"There is occasional UI slowness and bugs."
"The ease of implementation needs improvement."
"It does not have the best interface."
"Datadog's roadmap can be a bit unpredictable at times."
More Datadog cons
 

Pricing and Cost Advice

"The licensing model is expensive compared to its competitors, but the service it gives to your business, and the data quality, means that it's worth it."
"The licensing model for v9 is better where it is an individual license per server, while v10 licenses are per JVM/ .NET and server instance. The latter model appears to be the model that other APM vendors are using."
"Sometimes it's very hard to project how much it will cost for the monthly subscription for the next month when you add certain features. Having better visibility of the cost would give a better experience."
"At my last company, we did see ROI, specifically around response time. We could get to mission critical things that were down and losing revenue on immediately. So, the product paid itself back."
"They prefer monthly subscriptions."
"It has a module-based pricing model."
"The pricing came up a bit compared to their competitors. It is not that the price has risen, but that the competitors have gone down. They keep adding more features that I would have expected to be baked in at a more nominal price. I have been increasingly dissatisfied with the pricing, but not enough to jump ship."
"It didn't scale well from the cost perspective. We had a custom package deal."
"This solution is budget friendly."
"If you do your homework, you'll find that if you're really concerned with cost, it's good."
More Datadog pricing and cost advice
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
15%
Computer Software Company
14%
Manufacturing Company
8%
Retailer
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business1
Midsize Enterprise2
Large Enterprise7
By reviewers
Company SizeCount
Small Business78
Midsize Enterprise42
Large Enterprise82
 

Questions from the Community

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Earn 20 points
Any advice about APM solutions?
There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...
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Datadog vs ELK: which one is good in terms of performance, cost and efficiency?
With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times lately using the dashboards we have created with Datadog; they are very good c...
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Which would you choose - Datadog or Dynatrace?
Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network ...
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Comparisons

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Compared 30% of the time
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Compared 11% of the time
Azure Monitor vs Datadog Logo
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Compared 8% of the time
Splunk Enterprise Security vs Datadog Logo
Splunk Enterprise Security vs Datadog
Compared 5% of the time
New Relic vs Datadog Logo
New Relic vs Datadog
Compared 4% of the time
AWS X-Ray vs Datadog Logo
AWS X-Ray vs Datadog
Compared 4% of the time
More Datadog Competitors
 

Product Reports

Buyer's Guide
Application Performance Monitoring (APM) and Observability
September 2025
Aternity AppInternals [EOL] reportDownload Aternity AppInternals [EOL] product report
Buyer's Guide
Datadog
October 2025
Datadog reportDownload Datadog product report
 

Also Known As

SteelCentral AppInternals, OPNET ACE, AppInternals Xpert
No data available
 

Overview

Simplified high-definition APM visibility leveraging Real User Monitoring, Synthetic Monitoring, and OpenTelemetry, that is scalable, easy to use and deploy, and unifies insights across end users, applications, networks, and the cloud-native ecosystem

Riverbed

Datadog integrates extensive monitoring solutions with features like customizable dashboards and real-time alerting, supporting efficient system management. Its seamless integration capabilities with tools like AWS and Slack make it a critical part of cloud infrastructure monitoring.

Datadog offers centralized logging and monitoring, making troubleshooting fast and efficient. It facilitates performance tracking in cloud environments such as AWS and Azure, utilizing tools like EC2 and APM for service management. Custom metrics and alerts improve the ability to respond to issues swiftly, while real-time tools enhance system responsiveness. However, users express the need for improved query performance, a more intuitive UI, and increased integration capabilities. Concerns about the pricing model's complexity have led to calls for greater transparency and control, and additional advanced customization options are sought. Datadog's implementation requires attention to these aspects, with enhanced documentation and onboarding recommended to reduce the learning curve.

What are Datadog's Key Features?
  • Sharable Dashboards: Facilitate collaboration with customizable, intuitive dashboards.
  • Extensive Integrations: Seamlessly connects with tools like Slack and AWS to support workflows.
  • APM and RUM: Provides deep insights into application performance and user interactions.
  • Real-Time Tools: Enables agile responses to system issues with real-time monitoring.
  • Unified Tagging and Visualization: Eases management of complex systems with simplified visualization.
What Benefits and ROI Should Users Look For?
  • Efficient Troubleshooting: Centralized logging speeds up the identification and resolution of issues.
  • Streamlined Workflows: Integrations with popular tools enhance operational efficiency.
  • Improved Observability: Comprehensive monitoring improves system reliability and performance.
  • Resource Optimization: Efficient microservices and container management leads to better cloud resource utilization.
  • Responsive Alerts: Customizable alerts ensure timely identification of critical issues.

In industries like finance and technology, Datadog is implemented for its monitoring capabilities across cloud architectures. Its ability to aggregate logs and provide a unified view enhances reliability in environments demanding high performance. By leveraging real-time insights and integration with platforms like AWS and Azure, organizations in these sectors efficiently manage their cloud infrastructures, ensuring optimal performance and proactive issue resolution.

Datadog
 

Sample Customers

National Instruments, Allianz
Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's
Buyer's Guide
Application Performance Monitoring (APM) and Observability
September 2025
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